DDvoice

MFC入门小程序源代码-MFC source code

说明：  主从控制，多用于风光并网以及电厂，追踪电压电流 。(Master-slave control, mostly used in grid-connected scenery and power plants, tracking voltage and current.)

说明：  CN对图像进行像素级的分类，从而解决了语义级别的图像分割（semantic segmentation）问题。与经典的CNN在卷积层之后使用全连接层得到固定长度的特征向量进行分类（全联接层＋softmax输出）不同，FCN可以接受任意尺寸的输入图像，采用反卷积层对最后一个卷积层的feature map进行上采样, 使它恢复到输入图像相同的尺寸，从而可以对每个像素都产生了一个预测, 同时保留了原始输入图像中的空间信息, 最后在上采样的特征图上进行逐像素分类。(CN classifies images at the pixel level, thus resolving the problem of semantic segmentation at the semantic level. Unlike classical CNN, which uses full-connection layer to get fixed-length feature vectors after convolution layer for classification (full-connection layer + soft Max output), FCN can accept any size of input image, and uses deconvolution layer to sample feature map of the last convolution layer to restore it to the same size of input image, so that each pixel can be generated. At the same time, the spatial information of the original input image is retained. Finally, the pixel-by-pixel classification is carried out on the feature map sampled above.)

培训信息发布php系统最新修正版-training information release system php latest revised version

python语言实现多项式秘密分享，并且可以用拉格朗日插值恢复(Python language implements polynomial secret sharing and can be restored by Lagrange interpolation)

说明：  该程序是对非线性函数进行拟合，并不是多输入单输出。采用RBF神经网络/径向基网络，对非线性函数进行回归拟合。(The program is to fit the non-linear function, not multi-input single-output. RBF neural network/radial basis function network is used to fit the non-linear function.)

Network Development Tool

动态多目标优化算法，基于遗传方法得多目标优化算法，计算HV得超体积算法(Dynamic multi-objective optimization algorithm)

操作系统实验，进程同步与互斥读者写者问题，用vc实现-experimental operating system, and coordinate the process of the readers who wrote, using vc achieve

把单片机上的数据利用无线，蓝牙，或者串口上传到上位机(Using wireless, Bluetooth or serial port to upload data from MCU to PC)